Mapping routine malaria incidence at village level for targeted control in Papua New Guinea
Malaria surveillance and response-systems are essential for identifying the areas most affected by malaria and for targeting interventions and optimising resources. This study aimed to assess whether the visualisation of routinely collected health facility data linked to village of residence provide...
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| Format: | Article |
| Language: | English |
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PAGEPress Publications
2019-11-01
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| Series: | Geospatial Health |
| Subjects: | |
| Online Access: | https://www.geospatialhealth.net/index.php/gh/article/view/798 |
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| author | Daniela Rodríguez-Rodríguez Seri Maraga Sharon Jamea-Maiasa Anthony Tandrapah Leo Makita Peter M. Siba Ivo Mueller Justin Pulford Manuel Hetzel |
| author_facet | Daniela Rodríguez-Rodríguez Seri Maraga Sharon Jamea-Maiasa Anthony Tandrapah Leo Makita Peter M. Siba Ivo Mueller Justin Pulford Manuel Hetzel |
| author_sort | Daniela Rodríguez-Rodríguez |
| collection | DOAJ |
| description | Malaria surveillance and response-systems are essential for identifying the areas most affected by malaria and for targeting interventions and optimising resources. This study aimed to assess whether the visualisation of routinely collected health facility data linked to village of residence provides evidence for targeting control interventions in four sentinel health facilities in Papua New Guinea. A video format was used to visualise the dynamics in case incidence over time and space alongside photographs illustrating the context of the data collection in the study sites. Incidence changes overtime were illustrated in animated maps. Despite limitations, this approach appeared useful in sites with very few remaining cases or with increasingly marked heterogeneity. Villages that could benefit from targeted interventions or investigations were identified. |
| first_indexed | 2024-12-14T02:35:29Z |
| format | Article |
| id | doaj.art-c0e0242603c34b02bf276de6077c8410 |
| institution | Directory Open Access Journal |
| issn | 1827-1987 1970-7096 |
| language | English |
| last_indexed | 2024-12-14T02:35:29Z |
| publishDate | 2019-11-01 |
| publisher | PAGEPress Publications |
| record_format | Article |
| series | Geospatial Health |
| spelling | doaj.art-c0e0242603c34b02bf276de6077c84102022-12-21T23:20:09ZengPAGEPress PublicationsGeospatial Health1827-19871970-70962019-11-0114210.4081/gh.2019.798Mapping routine malaria incidence at village level for targeted control in Papua New GuineaDaniela Rodríguez-Rodríguez0Seri Maraga1Sharon Jamea-Maiasa2Anthony Tandrapah3Leo Makita4Peter M. Siba5Ivo Mueller6Justin Pulford7Manuel Hetzel8Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland; Papua New Guinea Institute of Medical Research, Goroka and MadangPapua New Guinea Institute of Medical Research, Goroka and MadangPapua New Guinea Institute of Medical Research, Goroka and MadangPapua New Guinea Institute of Medical Research, Goroka and MadangNational Department of Health, WaiganiPapua New Guinea Institute of Medical Research, Goroka and MadangWalter and Eliza Hall Institute of Medical Research, Melbourne, Australia; Pasteur Institute, ParisLiverpool School of Tropical Medicine, LiverpoolDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, BaselMalaria surveillance and response-systems are essential for identifying the areas most affected by malaria and for targeting interventions and optimising resources. This study aimed to assess whether the visualisation of routinely collected health facility data linked to village of residence provides evidence for targeting control interventions in four sentinel health facilities in Papua New Guinea. A video format was used to visualise the dynamics in case incidence over time and space alongside photographs illustrating the context of the data collection in the study sites. Incidence changes overtime were illustrated in animated maps. Despite limitations, this approach appeared useful in sites with very few remaining cases or with increasingly marked heterogeneity. Villages that could benefit from targeted interventions or investigations were identified.https://www.geospatialhealth.net/index.php/gh/article/view/798SurveillanceMalariaPapua New GuineaMalaria controlSurveillance-responseVisualisation |
| spellingShingle | Daniela Rodríguez-Rodríguez Seri Maraga Sharon Jamea-Maiasa Anthony Tandrapah Leo Makita Peter M. Siba Ivo Mueller Justin Pulford Manuel Hetzel Mapping routine malaria incidence at village level for targeted control in Papua New Guinea Geospatial Health Surveillance Malaria Papua New Guinea Malaria control Surveillance-response Visualisation |
| title | Mapping routine malaria incidence at village level for targeted control in Papua New Guinea |
| title_full | Mapping routine malaria incidence at village level for targeted control in Papua New Guinea |
| title_fullStr | Mapping routine malaria incidence at village level for targeted control in Papua New Guinea |
| title_full_unstemmed | Mapping routine malaria incidence at village level for targeted control in Papua New Guinea |
| title_short | Mapping routine malaria incidence at village level for targeted control in Papua New Guinea |
| title_sort | mapping routine malaria incidence at village level for targeted control in papua new guinea |
| topic | Surveillance Malaria Papua New Guinea Malaria control Surveillance-response Visualisation |
| url | https://www.geospatialhealth.net/index.php/gh/article/view/798 |
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